tf.quantization.fake_quant_with_min_max_args_gradient
Compute gradients for a FakeQuantWithMinMaxArgs operation.
tf.quantization.fake_quant_with_min_max_args_gradient(
gradients, inputs, min=-6, max=6, num_bits=8, narrow_range=False, name=None
)
| Args | |
|---|---|
gradients |
A Tensor of type float32. Backpropagated gradients above the FakeQuantWithMinMaxArgs operation. |
inputs |
A Tensor of type float32. Values passed as inputs to the FakeQuantWithMinMaxArgs operation. |
min |
An optional float. Defaults to -6. |
max |
An optional float. Defaults to 6. |
num_bits |
An optional int. Defaults to 8. |
narrow_range |
An optional bool. Defaults to False. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor of type float32. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/quantization/fake_quant_with_min_max_args_gradient